Abstract
The objective of this study is to investigate the significance impact of critical success factors on critical delays in the field of water infrastructure construction projects (WICPs) in the Abu Dhabi emirate in particular. Investigation was conducted utilizing quantitative approach by means of questionnaire survey to examine the understanding of professionals engaged in water infrastructure construction towards several critical success factors influencing critical delays. A total of 323 completed responses from owners, consultants and contractors representatives were gathered against 450 distributed questionnaires.The gathered questionnaires were analysed using an advanced multivariate statistical method of Partial Least Square Structural Equation Modelling (PLS-SEM). Data analysis was conducted in two major phases. The first phase involved a preliminary analysis of the data, to ensure that the data adequately meet the basic assumptions in using SEM. The second phase applied the two stages of SEM. The first stage included the establishment of measurement models for the latent constructs in the research. After confirming the uni-dimensionality, reliability and validity of the constructs in the first stage, the second stage developed to test the research hypotheses through developing the structural models. The results indicated that Project Management Process (PMP), Project Manager’s Competency (PMC), Project Team’s member Competency (PTC), Project Organizational Planning (POP), Project Resources’ Utilization (PRU) and Project Organizational Commitment (POC) had significant positive effects on Critical Delay Factor Evaluation (CDFS). From the results of moderation analysis revealed that Project Benchmark Characteristics (PBC) is positively moderate the effects of Project Management Process (PMP), Project Manager’s Competency (PMC) and Project Team’s member Competency (PTC) and Project Organizational Planning (POP) on Critical Delay Factor Evaluation (CDFS).
Highlights
The construction industry in general and including water infrastructure sector is large, complex, volatile, risky, and requires tremendous capital outlays and tight money (Tumi, Omran & Pakir, 2009)
Table 5 shows that the average variance extracted (AVE) values were 0.754, 0.754, 0.746, 0.759, 0.807, 0.742, 0.773, 0.769 and 0.809 for (PMP), (PMC), (PTC), (POP), (PRU), (POC), (PBC), (PEE) and Critical Delay Factor Evaluation (CDFS) respectively
The results indicated that Project Management Process (PMP), Project Manager’s Competency (PMC), Project Team’s member Competency (PTC), Project Organizational Planning (POP), Project Resources’ Utilization (PRU) and Project Organizational Commitment (POC) had significant positive effects on Critical Delay Factor Evaluation (CDFS)
Summary
The construction industry in general and including water infrastructure sector is large, complex, volatile, risky, and requires tremendous capital outlays and tight money (Tumi, Omran & Pakir, 2009). A prime critique coming up against the construction sector including water infrastructure construction projects is the increasing rate of occurred delays in construction project delivery (Tumi et al, 2009). This study adopted Structural Equation Modeling (SEM) to assess the influence of critical success factors on critical delays. The analysis selected PLS approach to Structural Equation Modeling (SEM) as this approach is more recommended and advised as most appropriate method for testing the causal relation (Hair, ringle & Sarstedt, 2011). Equation Modeling shows better functionality than other multivariate techniques including multiple regression, path analysis, and factor analysis
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